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Kelli Bippert – Texas Journal of Literacy Education, 2023
The question posed in this analysis is: What is the relationship between text-centered dialogue and reading comprehension? This article examines one student's behaviors while reading challenging texts. This qualitative case study explored the verbal behaviors of Robert (pseudonym), a seventh-grade student receiving reading intervention. As his…
Descriptors: Literacy, Discussion, Discussion Groups, Student Behavior
Selin Urhan; Oguzhan Gençaslan; Senol Dost – Interactive Learning Environments, 2024
ChatGPT, an artificial intelligence-supported chatbot, has become a resource in the field of education for students across various disciplines. The conversation that unfolds based on the user-generated questions and ChatGPT's responses implies the emergence of an argumentation between the student and ChatGPT. In this study, the argumentation…
Descriptors: Persuasive Discourse, Calculus, Mathematical Concepts, Artificial Intelligence
Zafer Unal; Aslihan Unal – Research Issues in Contemporary Education, 2024
Preservice teachers often need help applying classroom management theories to real-world situations due to their abstract nature. Using a case-based instruction strategy for teaching classroom management topics is a common practice to introduce preservice teachers to the contextual complexity of classrooms. This study investigates and compares the…
Descriptors: Preservice Teachers, Classroom Techniques, Educational Technology, Case Method (Teaching Technique)
Wu, Sheng-Yi; Wang, Shu-Ming – Interactive Learning Environments, 2023
Efficient collaborative learning relies on productive interaction among learners. Previous studies have suggested that group gender composition might affect the group dynamics. While previous studies have generally focused on the learning performance of different gender groups, relatively little effort has been devoted to scrutinising the learning…
Descriptors: Cooperative Learning, Social Media, Grouping (Instructional Purposes), Cognitive Processes
Chen, Li; Yoshimatsu, Nobuyuki; Goda, Yoshiko; Okubo, Fumiya; Taniguchi, Yuta; Oi, Misato; Konomi, Shin'ichi; Shimada, Atsushi; Ogata, Hiroaki; Yamada, Masanori – Research and Practice in Technology Enhanced Learning, 2019
The purpose of this study was to explore the factors that might affect learning performance and collaborative problem solving (CPS) awareness in science, technology, engineering, and mathematics (STEM) education. We collected and analyzed data on important factors in STEM education, including learning strategy and learning behaviors, and examined…
Descriptors: STEM Education, Cooperative Learning, Feedback (Response), Learning Strategies
Handayani, Rif'ati Dina; Genisa, Marlina Ummas; Triyanto – International Journal of Instruction, 2019
Group discussions are often used to improve students' participation in the learning process. Unfortunately, the most frequent problem is teacher difficulty assessing the contribution of each group member. This research aimed to explore student performance in group discussion through two types of peer assessment. Data were collected through…
Descriptors: Physics, Science Instruction, Peer Evaluation, Group Discussion
Metzger, Kelsey J.; Langley, David – College Teaching, 2020
The primary purpose of this paper is to describe the variety of active engagements that characterize student behaviors in active learning classrooms (ALCs) across an undergraduate degree program. The number of different engagement types observed during a single class meeting varied between two and eight across 23 different courses. Three forms of…
Descriptors: Active Learning, Learner Engagement, Undergraduate Students, STEM Education
Cheng, Shu-Chen; Hwang, Gwo-Jen; Lai, Chiu-Lin – Interactive Learning Environments, 2020
The present study aims to incorporate a group leadership promotion approach into collaborative learning tasks in the hope of developing students' creativity, problem-solving, and critical thinking. In order to evaluate the effectiveness of the proposed approach, we recruited 59 cross-professional students from a university in northern Taiwan, and…
Descriptors: Group Dynamics, Leadership, Cooperative Learning, Thinking Skills
Israel, Maya; Chung, Moon Y.; Wherfel, Quentin M.; Shehab, Saddeddine – Computer Science Education, 2020
Background and Context: Elementary computer science (CS) can be engaging and challenging for some students with disabilities who struggle with complex problem solving. Objective: This study examined academic engagement of students with autism spectrum disorder (ASD) in elementary CS instruction. Method: A mixed methods case study was used to study…
Descriptors: Elementary School Students, Computer Science Education, Autism, Pervasive Developmental Disorders
Chiang, Tosti Hsu-Cheng – Interactive Learning Environments, 2017
Programing is difficult for beginners because they need to learn the new language of computers. Developing software, especially complex software, is bound to result in problems, frustration, and the need to think in new ways. Identifying the learning behavior behind programing by way of empirical studies can help beginners learn more easily. In…
Descriptors: Programming, Educational Technology, Technology Uses in Education, Problem Solving
Wu, Sheng-Yi; Hou, Huei-Tse – Journal of Educational Computing Research, 2015
Cognitive styles play an important role in influencing the learning process, but to date no relevant study has been conducted using lag sequential analysis to assess knowledge construction learning patterns based on different cognitive styles in computer-supported collaborative learning activities in online collaborative discussions. This study…
Descriptors: Cognitive Style, Student Behavior, Problem Solving, Discussion (Teaching Technique)
Lu, Yihan; Hsiao, I-Han – International Educational Data Mining Society, 2016
Online programming discussion forums have grown increasingly and have formed sizable repositories of problem solving-solutions. In this paper, we investigate programming learners' information seeking behaviors from online discussion forums. We design engines to collect students' information seeking processes, including query formulation,…
Descriptors: Programming, Advanced Students, Reading Processes, Computer Mediated Communication
The Effect of Teaching Strategies and Students' Cognitive Style on the Online Discussion Environment
Wu, Sheng-Yi – Asia-Pacific Education Researcher, 2016
One issue of concern to teachers is the effect of teaching strategies and students' cognitive style on knowledge construction via online discussions in social networks. This study aimed to explore which teaching strategies lead to better learning performance and which cognitive styles affect learning from teaching strategies based on online…
Descriptors: Cognitive Style, Teaching Methods, Instructional Effectiveness, Discussion Groups
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Wu, Sheng-Yi; Hou, Huei-Tse; Hwang, Wu-Yuin; Liu, Eric Zhi-Feng – Journal of Educational Computing Research, 2013
Both asynchronous and synchronous discussions have advantages and limitations for online learning. This study conducts an empirical analysis of these discussion activities while applying the proposed Seamless Online Learning Integrated Discussion (SOLID) system, which can instantly integrate Facebook's asynchronous discussion function with the MSN…
Descriptors: Problem Solving, Active Learning, Student Projects, Student Behavior

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